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Mair, Patrick; Wu, Eric; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
The REQS package is an interface between the R environment of statistical computing and the EQS software for structural equation modeling. The package consists of 3 main functions that read EQS script files and import the results into R, call EQS script files from R, and run EQS script files from R and import the results after EQS computations.…
Descriptors: Structural Equation Models, Computer Software, Statistical Analysis, Simulation
Tueller, Stephen; Lubke, Gitta – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Structural equation mixture models (SEMMs) are latent class models that permit the estimation of a structural equation model within each class. Fitting SEMMs is illustrated using data from 1 wave of the Notre Dame Longitudinal Study of Aging. Based on the model used in the illustration, SEMM parameter estimation and correct class assignment are…
Descriptors: Structural Equation Models, Computation, Classification, Longitudinal Studies
Thompson, Barry L.; Green, Samuel B.; Yang, Yanyun – Educational and Psychological Measurement, 2010
The maximal split-half coefficient is computed by calculating all possible split-half reliability estimates for a scale and then choosing the maximal value as the reliability estimate. Osburn compared the maximal split-half coefficient with 10 other internal consistency estimates of reliability and concluded that it yielded the most consistently…
Descriptors: Reliability, Computation, Simulation, Statistical Analysis
Sterba, Sonya K.; MacCallum, Robert C. – Multivariate Behavioral Research, 2010
Different random or purposive allocations of items to parcels within a single sample are thought not to alter structural parameter estimates as long as items are unidimensional and congeneric. If, additionally, numbers of items per parcel and parcels per factor are held fixed across allocations, different allocations of items to parcels within a…
Descriptors: Sampling, Computation, Statistical Analysis, Computer Software
Magis, David; Raiche, Gilles – Applied Psychological Measurement, 2010
In this article the authors focus on the issue of the nonuniqueness of the maximum likelihood (ML) estimator of proficiency level in item response theory (with special attention to logistic models). The usual maximum a posteriori (MAP) method offers a good alternative within that framework; however, this article highlights some drawbacks of its…
Descriptors: Maximum Likelihood Statistics, Computation, Bayesian Statistics, Item Response Theory
Zumrawi, Abdel Azim; Bates, Simon P.; Schroeder, Marianne – Educational Research and Evaluation, 2014
This paper addresses the determination of statistically desirable response rates in students' surveys, with emphasis on assessing the effect of underlying variability in the student evaluation of teaching (SET). We discuss factors affecting the determination of adequate response rates and highlight challenges caused by non-response and lack of…
Descriptors: Inferences, Test Reliability, Response Rates (Questionnaires), Student Evaluation of Teacher Performance
Geelan, David; Mahaffy, Peter; Mukherjee, Michelle – Teaching Science, 2014
Scientific visualisations such as computer-based animations and simulations are increasingly a feature of high school Science instruction. Visualisations are adopted enthusiastically by teachers and embraced by students, and there is good evidence that they are popular and well received. There is limited evidence, however, of how effective they…
Descriptors: Visualization, Chemistry, Scientific Concepts, High Schools
Marshall, Neil; Buteau, Chantal – International Journal for Technology in Mathematics Education, 2014
As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…
Descriptors: Mathematics Education, Mathematics Curriculum, Undergraduate Students, Investigations
Billingsley, Glenna M.; Scheuermann, Brenda K. – Teacher Education and Special Education, 2014
Teacher educators of pre-service teachers of students with special needs face challenges in providing the unique knowledge and skills required of highly qualified special education teachers. The emerging use of various forms of virtual technology, however, offers realistic solutions to these problems. This systematic review of literature examines…
Descriptors: Computer Simulation, Special Education Teachers, Teacher Education, Educational Opportunities
Nussli, Natalie; Oh, Kevin – Journal of Technology and Teacher Education, 2014
The overarching question that guides this review is to identify the key components of effective teacher training in virtual schooling, with a focus on three-dimensional (3D) immersive virtual worlds (IVWs). The process of identifying the essential components of effective teacher training in the use of 3D IVWs will be described step-by-step. First,…
Descriptors: Teacher Education, Virtual Classrooms, Educational Technology, Electronic Learning
Cleary, Laura; Looney, Kathy; Brady, Nuala; Fitzgerald, Michael – Autism: The International Journal of Research and Practice, 2014
The "body inversion effect" refers to superior recognition of upright than inverted images of the human body and indicates typical configural processing. Previous research by Reed et al. using static images of the human body shows that people with autism fail to demonstrate this effect. Using a novel task in which adults, adolescents…
Descriptors: Visual Perception, Human Body, Adolescents, Autism
Rauh, Jonathan – Journal of Political Science Education, 2014
Active learning, including in-class debates, is used in social science classrooms as a means of improving meaning and increasing understanding of complex materials. However, in-class debates do not fully satisfy all aspects of experiential learning because students do not get to experience the results of multifaceted concepts, such as strategic…
Descriptors: Discussion (Teaching Technique), Class Activities, Educational Experiments, Active Learning
Lee, Keunho – UNESCO International Bureau of Education, 2014
The implementation of the national curriculum in the Republic of Korea is ensured through curriculum revisions and the instructions issued by the Ministry of Education. The latter are acts of the Minister of Education that must be enforced in individual schools as stipulated in the regulations of Article 23 of the Elementary and Secondary…
Descriptors: Competency Based Education, Professional Autonomy, Decision Making, Creativity
Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry
Chang, Maiga, Ed.; Popescu, Elvira, Ed.; Kinshuk, Ed.; Chen, Nian-Shing, Ed.; Jemni, Mohamed, Ed.; Huang, Ronghuai, Ed.; Spector, J. Michael, Ed.; Sampson, Demetrios G., Ed. – Lecture Notes in Educational Technology, 2019
This book focuses on the interplay between pedagogy and technology, and their fusion for the advancement of smart learning environments. It discusses various components of this interplay, including learning and assessment paradigms, social factors and policies, emerging technologies, innovative application of mature technologies, transformation of…
Descriptors: Educational Technology, Technology Uses in Education, Teaching Methods, Second Language Learning

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